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Modeling, Analysis, and Theory Intern - Using deep learning to model neural activity

Department: 2260-Modeling Analysis and Theory
Location: Seattle


Using deep learning to model neural activity

Project Overview:

In this internship you will be leveraging the power for deep learning to create models of neurons in the visual cortex of mouse. You will be extracting features from different layers of deep neural networks that have been pretrained on images or movies, and then using these features to build linear regression models that predict the activity of individual neurons responding to natural movies. You will then learn to interpret the fit models to learn about the features encoded by a neuron. You will also learn how to incorporate other signals into your models, such as the activity of other neurons or variables relating to the behavioral state of the animal. If time allows, you will create end-to-end models in which you directly train a deep neural network using only experimental data.

Educational Objectives:

  • Learn about mouse visual cortex
  • Analyze neural responses to natural movies
  • Nonlinear regression with deep learning
  • Implement models in PyTorch
  • Regularizing models to prevent overfitting
  • Combining various input signals in a model
  • Interpreting a fit model to learn about neural responses


  • U.S. Citizen or U.S. Permanent Resident currently enrolled in an accredited U.S. college or university.
  • Enrolled in undergraduate studies or in a Masterís program. You must be enrolled and returning to school Fall quarter.
  • Must be able to start on either June 3rd or June 17th, 2019 and commit to the full 10-12 week internship time period. Interns will be expected to work 35-40 hours a week.
  • Must be 18 years of age or older.


Interns will receive $15.00 per hour which is equivalent to $6,000 less taxes.


Housing is not provided as a part of the internship program. If selected we will provide a list of housing resources for you.


Interns will be provided with an ORCA business passport free of charge for the duration of their internship.

How to Apply

  1. Complete an application through this portal. The application deadline is January 30, 2019.
  2. Submit a resume as well as the following documents using the + supplemental documents button:
    • A personal statement describing your interest in Allen Institute for Brain Science
    • College transcript with Cumulative GPA and Courses taken (can be unofficial)

3. Send one letter of recommendation to

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